each of these multi-locus models, compared with the non-genetic base model (Equation 1). Results of these parameters for both models, as well as covariates-only (non-genetic) model are presented in Table 5. Incorporation of the top genetic main effects into the model containing age, sex and the rAOS improves cross-validated concordance from 73.7% to 76.6%, and changes the predicted risk difference between cases and controls by 0.06 standard-deviations, relative to the non-genetic model (Table 5, second column, difference between rows 3 and 2). However, incorporation of top findings from the interaction-model, improves the cross-validated concordance value to 78.1%; and changes the predicted risk score difference between cases and controls by 0.09 SD, relative to the non-genetic base model. Hence, the incorporation of rAOS interactions into the genetic analyses results in a 50% relative increase in the predicted risk due genetic variables.
